{
 "cells": [
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   "cell_type": "code",
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   "id": "dbcb864c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "100"
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "para=np.linspace(1.08,0,100)\n",
    "r=50\n",
    "\n",
    "para.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "91fb0409",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "array([           nan, 0.0000000e+000, 1.3523439e-311, 2.0236929e-320,\n       0.0000000e+000, 0.0000000e+000, 0.0000000e+000, 0.0000000e+000,\n       0.0000000e+000, 0.0000000e+000])"
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a=np.empty(10)\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "652a9c11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "array([           nan, 1.0000000e+000, 1.3523439e-311, 2.0236929e-320,\n       0.0000000e+000, 0.0000000e+000, 0.0000000e+000, 0.0000000e+000,\n       0.0000000e+000, 0.0000000e+000])"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a[1]=1\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3c6975f7",
   "metadata": {},
   "outputs": [
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     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "answer=np.zeros((99,3))\n",
    "answer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0143a0ff",
   "metadata": {},
   "outputs": [
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     "data": {
      "text/plain": "array([0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])"
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   "outputs": [],
   "source": [],
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